Abstract
Recent numerical studies suggest that convective instability and latent heat release quickly amplify errors in numerical weather predictions and lead to a complete loss of predictability on scales below 100 km within a few hours. These errors then move further upscale, eventually contaminating the balanced flow and projecting on to synoptic-scale instabilities. According to this picture, the errors have to transition from geostrophically unbalanced to balanced motion while propagating through the mesoscale. Geostrophic adjustment was suggested as the dynamical process of this transition, but so far has not been clearly identified. In the current study, an analytical framework for the geostrophic adjustment of an initial point-like pulse of heat is developed on the basis of the linearized, hydrostatic Boussinesq equations. The heat pulse is thought to model a convective cloud or an error within the prediction of a cloud. A time-dependent solution for both transient and balanced flow components is derived from the analytical model. The solution includes the Green's function of the problem, which enables the extension of the model to arbitrary heat sources by linear superposition. Spatial and temporal scales of the geostrophic adjustment mechanism are deduced and diagnostics are proposed that could be used to demonstrate the geostrophic adjustment process in complex numerical simulations of midlatitude convection and upscale error growth.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Physik |
Themengebiete: | 500 Naturwissenschaften und Mathematik > 530 Physik |
ISSN: | 0035-9009 |
Sprache: | Englisch |
Dokumenten ID: | 53811 |
Datum der Veröffentlichung auf Open Access LMU: | 14. Jun. 2018, 09:54 |
Letzte Änderungen: | 04. Nov. 2020, 13:33 |